Gate System

A quality control framework where work must pass through defined checkpoints before progressing. Each gate has specific criteria, responsible reviewers, and escalation paths. In AI-augmented teams, gates are often enforced by guardian agents that automatically validate against checklists and policies.

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Designing Contextual Watchers: AI Agent Monitoring Patterns That Catch Problems Before They Propagate

A practitioner's guide to defensive AI agent design — thin-slice expert watchers that monitor quality, scope, and consistency dimensions with defined trigger conditions, evaluation criteria, and response actions.

The Axiom-Principle-Rule Framework: Codifying How You Think for AI Agents

A composable three-tier decision hierarchy — axiom, principle, rule — that codifies your judgment into structured context AI agents can traverse. Distilled from real PO practice, not academic theory.

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Gate System is taught in The Signal Cascade — a guided sequence of 20 lessons.

After completing this path you will run a working signal cascade: a decision-anchored definition of signal (a difference that makes a difference to a decision you own), gates tuned by position (recall at the bottom, precision at the top), knowledge stored as six-field self-validating artifacts, contradictions surfaced at save time, AI output supervised by exception with alarm-audited gates, verification debt tracked and paid down, and sessions run as thin slices with one question, a bounded working set, and an exit artifact.

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